DocumentCode
483635
Title
TSIPN: Trust-based resilient scheme for IP networks
Author
Ji, Junjie ; Yang, Xiaolong ; Wang, Jin ; Wu, Xiongbiao ; Lin, Jianren ; Long, Keping
Author_Institution
Res. Center for Opt. Internet & Mobile Inf. Networks (COIMIN), Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
fYear
2008
fDate
14-16 Oct. 2008
Firstpage
1
Lastpage
5
Abstract
Nowadays, IP networks are suffering many faults and malicious attacks, which greatly threaten its security and survivability. So it is an important issue that how to make the IP networks to be more resilient under faults and attacks, i.e., to improve their tolerance abilities for both fault and intrusion. However recently, most of the researches focus on only one of them, and decouple the survivability and security each other. According to the trust model in social networks, this paper proposes an efficient scheme which is resilient to both fault and intrusion based on trust relationship for IP networks. This scheme not only borrows the trust rating from the social links, but also qualitatively describes the relationships between the trust rating and the network behavior. Then, this paper analyses the scheme how to tolerate three known malicious behaviors, viz., self-faults, bad mouth attacks and conflict behavior attacks. Finally, our scheme can detect the malicious nodes fast and accurately and efficiently prevent these malicious behaviors in IP networks.
Keywords
IP networks; computer network reliability; telecommunication security; IP network faults; TSIPN model; malicious attacks; network survivability; social network security; trust-based resilient scheme; Cryptography; Fault tolerance; Fault tolerant systems; Helium; IP networks; Mouth; Resilience; Robustness; Scalability; Social network services; IP networks; fault-tolerant; intrusion-tolerant; resilient; trust-based;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2008. APCC 2008. 14th Asia-Pacific Conference on
Conference_Location
Tokyo
Print_ISBN
978-4-88552-232-1
Electronic_ISBN
978-4-88552-231-4
Type
conf
Filename
4773800
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